Journal List > J Korean Acad Community Health Nurs > v.29(1) > 1094955

Ra, Kim, and Cho: Factors associated with Intermittent and Light Smoking among Korean High School Students: Intermittent and Light Smoking among Korean Adolescents

Abstract

Purpose

The purpose of this study was to identify factors associated with intermittent and light smoking among Korean high school students.

Methods

In this cross-sectional study, we employed secondary data from the 2015 Korea Youth Risk Behavior Web-Based Survey, and used the biopsychosocial model as a framework. The analysis was performed using the data of 2,851 high school students who smoked. We defined intermittent and light smoking as smoking on 1 to 29 days in a 30-day period and no more than 10 cigarettes per day. A logistic regression analysis using the complex samples procedure was conducted.

Results

Among all the participants, 1,231 (43.2%) were intermittent and light smokers. Factors significantly predicting intermittent and light smoking were gender and grade (biological factors); subjective stress (psychological factor); and mother's smoking, sibling's smoking and academic achievement (sociocultural factors).

Conclusion

In smoking cessation programs, health care providers both at school and in the community should consider the unique biological, psychological, and sociocultural characteristics of intermittent and light smoking behavior among high school students.

References

1. Amrock SM, Weitzman M. Adolescents' perceptions of light and intermittent smoking in the United States. Pediatrics. 2015; 135(2):246–254. https://doi.org/10.1542/peds.2014-2502.
crossref
2. World Health Organization. WHO report on the global tobacco epidemic 2009 [Internet]. Geneva: World Health Organization;2009. [Cited 2017 March 6]. Available from:. http://www.who.int/tobacco/mpower/2009/en/.
3. Korea Ministry of Education. Korea Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. The statistics report of the Eleventh Korea Youth Risk Behavior Web-based Survey [Internet]. Cheongju: Korea Centers for Disease Control and Prevention;2015. [Cited 2016 January 13]. Available from:. http://yhs.cdc.go.kr/new/?c=pds&s=1&gbn=viewok&sp=&sw=&ps=10&gp=1&ix=10.
4. Yun HK, Park IS. Factors influencing intermittent smoking in male and female students in Korea. Indian Journal of Science and Technology. 2016; 9(25):1–8. http://dx.doi.org/10.17485/ijst/2016/v9i25/97193.
crossref
5. Schane RE, Ling PM, Glantz SA. Health effects of light and intermittent smoking: A review. Circulation. 2010; 121(13):1518–1522. https://doi.org/10.1161/CIRCULATIONAHA.109.904235.
6. Koontz JS, Harris KJ, Okuyemi KS, Mosier MC, Grobe J, Nazir N, et al. Healthcare providers' treatment of college smokers. Journal of American College Health. 2004; 53(3):117–126. https://doi.org/10.3200/JACH.53.3.117-126.
crossref
7. Reyes-Guzman CM, Pfeiffer RM, Lubin J, Freedman ND, Cleary SD, Levine PH, et al. Determinants of light and intermittent smoking in the United States: Results from Three Pooled National Health Surveys. Cancer Epidemiology, Biomarkers & Prevention. 2017; 26(2):228–239. https://doi.org/10.1158/1055-9965.EPI-16-0028.
crossref
8. Thrul J, Bühler A, Ferguson SG. Situational and mood factors associated with smoking in young adult light and heavy smokers. Drug and Alcohol Review. 2014; 33(4):420–427. https://doi.org/10.1111/dar.12164.
crossref
9. Wang M, Zhong JM, Fang L, Wang H. Prevalence and associated factors of smoking in middle and high school students: A school-based cross-sectional study in Zhejiang Province, China. British Medical Journal Open. 2016; 6(1):e010379. https://doi.org/10.1136/bmjopen-2015-010379.
crossref
10. Jiang N, Gonzalez M, Ling PM, Glantz SA. Relationship of smokefree laws and alcohol use with light and intermittent smoking and quit attempts among US adults and alcohol users. Public Library of Science One. 2015; 10(10):e0137023. https://doi.org/10.1371/journal.pone.0137023.
crossref
11. Rubinstein ML, Rait MA, Sen S, Shiffman S. Characteristics of adolescent intermittent and daily smokers. Addictive Behaviors. 2014; 39(9):1337–1341. https://doi.org/10.1016/j.addbeh.2014.04.021.
crossref
12. Hatala AR. The status of the “biopsychosocial” model in health psychology: Towards an integrated approach and a critique of cultural conceptions. Open Journal of Medical Psychology. 2012; 1(4):51–62. https://doi.org/10.4236/ojmp.2012.14009.
crossref
13. Mickens L, Ameringer K, Brightman M, Leventhal AM. Epidemiology, determinants, and consequences of cigarette smoking in African American women: An integrative review. Addictive behaviors. 2010; 35(5):383–391. https://doi.org/10.1016/j.addbeh.2009.12.014.
crossref
14. Ra JS, Cho YH. Psychological factors associated with smoking intention in Korean male middle school students. The Journal of School Nursing. 2017; 33(5):355–363. https://doi.org/10.1177/1059840516671782.
15. Engel GL. The clinical application of the biopsychosocial model. The American Journal of Psychiatry. 1980; 137(5):535–544. https://doi.org/10.1176/ajp.137.5.535.
16. Rondina RC, Gorayeb R, Botelho C. Psychological characteristics associated with tobacco smoking behaviors. Journal Brasileiro de Pneumoligia. 2007; 33(5):592–601. https://doi.org/10.1590/S1806-37132007000500016.
17. Tyas SL, Pederson LL. Psychological factors related to adolescent smoking: A critical review of the literature. Tobacco Control. 1998; 7(4):409–420. https://doi.org/10.1136/tc.7.4.409.
18. Smith KH, Stutts MA. Factors that influence adolescents to smoke. The Journal of Consumer Affairs. 1999; 33(2):321–357. https://doi.org/10.1111/j.1745-6606.1999.tb00073.x.
crossref
19. Peterson AL, Brundige AR, Houghton D. Tobacco use. And-rasik F, Goodie JL, Peterson AL, editors. Biopsychosocial assessment in clinical health psychology. New York: The Guilford Press;2015. p. 61–86.
20. Poulsen LH, Osler M, Roberts C, Due P, Damsgaard MT, Holstein BE. Exposure to teachers smoking and adolescent smoking behaviour: Analysis of cross sectional data from Denmark. Tobacco Control. 2002; 11(3):246–251. https://doi.org/10.1136/tc.11.3.246.
crossref
21. Brown AK, Moodie C, Hastings G, Mackintosh AM, Hassan L, Thrasher J. The association of normative perceptions with adolescent smoking intentions. Journal of Adolescence. 2010; 33(5):603–614. https://doi.org/10.1016/j.adolescence.2009.12.003.
crossref
22. Aryal UR, Bhatta DN. Smoking susceptibility and intention to smoke among secondary school adolescents in Nepal. Journal of Nepal Health Research Council. 2015; 13(29):26–30.
23. So ES, Yeo JY. Factors associated with early smoking initiation among Korean adolescents. Asian Nursing Research. 2015; 9(2):115–119. https://doi.org/10.1016/j.anr.2015.05.002.
crossref
24. Maziak W, Nakkash R, Bahelah R, Husseini A, Fanous N, Eissenberg T. Tobacco in the Arab world: Old and new epidemics amidst policy paralysis. Health Policy and Planing. 2014; 29(6):784–794. https://doi.org/10.1093/heapol/czt055.
crossref
25. Levy DE, Biener L, Rigotti NA. The natural history of light smokers: A population-based cohort study. Nicotine & Tobacco Research. 2009; 11(2):156–163. https://doi.org/10.1093/ntr/ntp011.
crossref
26. Shiffman S, Dunbar MS, Scholl SM, Tindle HA. Smoking motives of daily and non-daily smokers: A profile analysis. Drug and Alcohol Dependence. 2012; 126(3):362–368. https://doi.org/10.1016/j.drugalcdep.2012.05.037.
crossref
27. Lee YJ, Cho SJ, Cho IH, Kim SJ. Insufficient sleep and suicidality in adolescents. Sleep. 2012; 35(4):455–460. https://doi.org/10.5665/sleep.1722.
crossref
28. Lee B, Yi Y. Smoking, physical activity, and eating habits among adolescents. Western Journal of Nursing Research. 2016; 38(1):27–42. https://doi.org/10.1177/0193945914544335.
crossref
29. Jung JH, Lee SH. Cross-cultural comparisons of appearance self-schema, body image, self-esteem, and dieting behavior between Korean and U.S. women. Family and Consumer Sciences Research Journal. 2006; 34(4):350–365. https://doi.org/10.1177/1077727X06286419.
crossref
30. Tahlil T, Woodman RJ, Coveney J, Ward PR. Six-months follow-up of a cluster randomized trial of school-based smoking prevention education programs in Aceh, Indonesia. BioMed Central Public Health. 2015; 15:1088. https://doi.org/10.1186/s12889-015-2428-4.
crossref

Table 1.
Measurement of Biopsychosocial Factors
Variables Measurement
Biological factors Gender Male or Female
Grade 1st, 2nd, or 3rd
Psychological factors Perceived health status Subjects responded to a question on their perceived health status (with possible responses of very healthy, healthy, fair, unhealthy, or very unhealthy). They were reclassified as healthy, fair, or poor
Subjective stress Subjects responded to a question on subjective stress (with possible responses of extremely high stress, high stress, low stress, almost none, not at all). They were subsequently classified as having “high stress,” “low stress,” and “no stress”
Depressive symptoms Subjects responded to a question asking if they had felt sad or hopeless during the past 12 months (with possible responses of yes or no)
Alcohol consumption Subjects responded to a question about whether they had drank alcohol in the past 30 days (with possible responses of yes or no)
Sociocultural factors Family socioeconomic status Subjects responded to a question on their perceived household economic status. They were then reclassified as high, middle, and low
Father's education level Subjects responded to a question about their father's education level (with possible responses of less than middle school, high school graduation, and above college)
Mother's education level Subjects responded to a question about their mother's education status (with possible responses of less than middle school, high school graduation, and above college)
Father's smoking Subjects indicated whether their father smoked or not
Mother's smoking Subjects indicated whether their mother smoked or not
Sibling's smoking Subjects indicated whether a brother or sister smoked or not
Exposure to secondhand smoking at home Subjects indicated whether they had been exposed to secondhand smoking related to their family at home during the past 7 days or not
Close friends' smoking Subjects indicated how many close friends smoked (with possible responses of all, most, some, or none)
Observing teachers and other staff smoking at school Subjects responded whether school employees smoked at school or not.
Academic achievement Subjects ranked their academic achievement as high, upper-middle, middle, lower-middle, and low based on their own grade. They were subsequently reclassified as high, middle, or low
Participation in anti-smoking education Subjects responded with whether they had received education for smoking prevention and cessation during classes in the last year or not.
Table 2.
Characteristics of Biological, Psychological, and Sociocultural Factors (N=2,851)
Variables Categories Intermittent and light smoker (n=1,231) Intermittent and heavy smokers (n=86) Daily and light smokers (n=1,109) Daily and heavy smokers (n=425)
n(%) n(%) n(%) n(%)
Biological factors
Gender Male 989 (80.2) 65 (77.1) 931 (84.3) 354 (83.7)
Female 242 (19.8) 21 (22.9) 178 (15.7) 71 (16.3)
Grade 1st 355 (29.1) 30 (34.4) 219 (19.1) 96 (22.8)
2nd 405 (32.4) 22 (26.1) 395 (35.4) 142 (34.9)
3rd 471 (38.5) 34 (39.5) 495 (45.5) 187 (42.3)
Psychological factors
Perceived health status Healthy 877 (72.3) 58 (68.4) 771 (68.5) 294 (68.7)
Fair 274 (21.8) 19 (20.7) 263 (24.2) 84 (19.1)
Poor 80 (5.9) 9 (10.9) 75 (7.3) 47 (12.2)
Subjective stress High 500 (41.2) 38 (40.3) 480 (43.9) 209 (47.6)
Low 535 (42.8) 31 (41.0) 438 (39.6) 142 (33.4)
None 196 (16.0) 17 (18.7) 191 (16.5) 74 (19.0)
Depressive symptoms (in a year) Yes 401 (33.6) 50 (53.1) 398 (35.9) 186 (44.2)
No 830 (66.4) 36 (46.9) 711 (64.1) 239 (55.8)
Alcohol consumption (in 30 days) Yes 807 (64.9) 66 (74.3) 833 (75.0) 366 (84.3)
No 424 (35.1) 20 (25.7) 276 (25.0) 59 (15.7)
Sociocultural factors
Family socioeconomic status High 392 (33.0) 34 (42.9) 340 (32.0) 165 (38.9)
Middle 558 (44.1) 30 (34.5) 511 (45.1) 156 (37.1)
Low 281 (22.9) 22 (22.6) 258 (22.9) 104 (24.0)
Father's educational level ≤Middle school 59 (4.6) 8 (11.7) 63 (4.8) 29 (7.0)
High school 558 (42.7) 36 (35.7) 505 (44.5) 208 (45.8)
≥College 614 (52.7) 42 (52.6) 541 (50.7) 188 (47.2)
Mother's educational level ≤Middle school 36 (2.9) 9 (8.5) 52 (4.3) 23 (6.0)
High school 687 (55.3) 43 (54.1) 625 (56.3) 240 (52.6)
≥College 508 (41.8) 34 (37.4) 432 (39.4) 162 (41.4)
Father's smoking Yes 584 (46.9) 29 (33.9) 575 (51.3) 224 (49.7)
No 647 (53.1) 57 (66.1) 534 (48.7) 201 (50.3)
Mother's smoking Yes 54 (4.2) 10 (8.5) 83 (7.2) 50 (10.8)
No 1,177 (95.8) 76 (91.5) 1,026 (92.8) 375 (89.2)
Sibling's smoking Yes 160 (12.5) 15 (16.2) 160 (14.6) 91 (19.9)
No 1,071 (87.5) 71 (83.8) 949 (85.4) 334 (80.1)
Exposure of second handed smoking at home Yes 478 (38.1) 57 (66.4) 430 (37.0) 210 (48.8)
No 753 (61.9) 29 (33.6) 679 (63.0) 215 (51.2)
Smoking of close friend All 43 (3.6) 28 (35.7) 166 (14.7) 153 (37.1)
Most 468 (38.3) 36 (40.6) 674 (60.8) 221 (49.2)
Some 671 (54.1) 17 (18.6) 243 (21.8) 41 (10.6)
None 49 (4.0) 5 (5.1) 26 (2.7) 10 (3.1)
Observing teachers and other staff smoking at school Yes 674 (55.3) 63 (74.9) 694 (64.4) 293 (67.2)
No 557 (44.7) 23 (25.1) 415 (35.6) 132 (32.8)
Academic achievement High 338 (27.8) 25 (29.4) 230 (20.0) 102 (23.2)
Middle 332 (26.9) 23 (32.7) 281 (26.7) 79 (19.9)
Low 561 (45.3) 38 (37.9) 598 (53.3) 244 (56.9)
Participation in anti-smoking education (in a year) Yes 737 (58.6) 34 (39.4) 667 (58.6) 244 (56.9)
No 494 (41.4) 52 (60.6) 442 (41.4) 181 (43.1)

Under weighted;

Weighted.

Table 3.
Associated Factors on Intermittent and Light Smoking among High School Students (N=2,851)
Variables Categories OR 95% CI p
Biological factors Gender (Ref.: male) Female 1.53 1.23~1.90 <.001
Grade (Ref.: 3rd) 2nd 1.09 0.90~1.32 .400
1st 1.56 1.29~1.90 <.001
Psychological factors Perceived health status (Ref.: poor) Fair 1.39 0.98~1.96 .062
Healthy 1.21 0.66~2.24 .543
Subjective stress (Ref.: none) Low 1.16 0.98~1.37 .088
High 1.46 1.23~1.72 <.001
Depressive symptoms (in a year) (Ref.: no) Yes 1.15 0.99~1.35 .074
Alcohol consumption (in 30 days) (Ref.: no) Yes 0.85 0.32~2.29 .748
Sociocultural factors Family socioeconomic status (Ref.: low) Middle 0.89 0.73~1.08 .234
High 0.48 0.11~2.08 .324
Father's educational level High school 1.03 0.72~1.48 .878
(Ref.: less than middle school) Above college 1.11 0.77~1.59 .580
Mother's educational level High school 1.05 0.87~1.27 .604
(Ref.: less than middle school) Above college 0.63 0.39~1.01 .053
Father's smoking (Ref.: no) Yes 1.04 0.89~1.21 .633
Mother's smoking (Ref.: no) Yes 1.96 1.36~2.82 <.001
Sibling's smoking (Ref.: no) Yes 1.27 1.02~1.58 .035
Exposure to secondhand smoking at home (Ref.: no) Yes 1.01 0.85~1.20 .882
Close friend's smoking (Ref.: no) Yes 1.16 0.76~1.78 .489
Observing teachers and other staff smoking Yes 0.88 0.70~1.10 .259
at school (Ref.:no)
Academic achievement (Ref.: low) Middle 1.25 1.05~1.50 .014
High 1.62 1.32~1.98 <.001
Participation in anti-smoking education (in a year) (Ref.: no) Yes 0.92 0.78~1.07 .275

Ref.=reference; OR=odds ratio; CI=confidence interval.

TOOLS
Similar articles